X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?a=blobdiff_plain;f=tools%2FclitkAffineTransformGenericFilter.txx;h=a3ec42038e431c41c909550e5ed6b4c6f2eaf70f;hb=7d4e77191e55f668f316ba3ddf0fddb63e59bd25;hp=a1e0839a320aa7fbe6339c36c2ba230b9f20f644;hpb=c91252d780814d0d771464cdbce0f0a2cf94e891;p=clitk.git

diff --git a/tools/clitkAffineTransformGenericFilter.txx b/tools/clitkAffineTransformGenericFilter.txx
index a1e0839..a3ec420 100644
--- a/tools/clitkAffineTransformGenericFilter.txx
+++ b/tools/clitkAffineTransformGenericFilter.txx
@@ -94,6 +94,10 @@ namespace clitk
       //       if (m_Verbose) std::cout  << "Launching filter in "<< Dimension <<"D and signed_char..." << std::endl;
       //       UpdateWithDimAndPixelType<Dimension, signed char>();
       //     }
+      else if(PixelType == "double"){
+        if (m_Verbose) std::cout  << "Launching filter in "<< Dimension <<"D and double..." << std::endl;
+        UpdateWithDimAndPixelType<Dimension, double>();
+      }
       else {
         if (m_Verbose) std::cout  << "Launching filter in "<< Dimension <<"D and float..." << std::endl;
         UpdateWithDimAndPixelType<Dimension, float>();
@@ -109,6 +113,95 @@ namespace clitk
 
   }
   //-------------------------------------------------------------------
+
+
+  //-------------------------------------------------------------------
+  // Compute updated bounding box
+  //-------------------------------------------------------------------
+  template<class args_info_type>
+  vnl_vector<double>
+  AffineTransformGenericFilter<args_info_type>::ComputeSize(vnl_vector<double> inputSize, vnl_matrix<double> transformationMatrix, bool returnMin)
+  {
+    //Compute input corners
+    int Dimension = inputSize.size();
+    vnl_matrix<double> vnlOutputSize(std::pow(2, Dimension), Dimension);
+    vnlOutputSize.fill(0);
+    if (Dimension == 2) {
+      for(unsigned int i=0; i< Dimension; i++)
+        vnlOutputSize[3][i] = inputSize[i];
+      vnlOutputSize[1][0] = inputSize[0];
+      vnlOutputSize[2][1] = inputSize[1];
+    } else if (Dimension == 3) {
+      for(unsigned int i=0; i< Dimension; i++)
+        vnlOutputSize[7][i] = inputSize[i];
+      vnlOutputSize[1][0] = inputSize[0];
+      vnlOutputSize[2][1] = inputSize[1];
+      vnlOutputSize[3][2] = inputSize[2];
+      vnlOutputSize[4][0] = inputSize[0];
+      vnlOutputSize[4][1] = inputSize[1];
+      vnlOutputSize[5][1] = inputSize[1];
+      vnlOutputSize[5][2] = inputSize[2];
+      vnlOutputSize[6][0] = inputSize[0];
+      vnlOutputSize[6][2] = inputSize[2];
+    } else { //Dimension ==4
+      for(unsigned int i=0; i< Dimension; i++)
+        vnlOutputSize[15][i] = inputSize[i];
+      vnlOutputSize[1][0] = inputSize[0];
+      vnlOutputSize[2][1] = inputSize[1];
+      vnlOutputSize[3][2] = inputSize[2];
+      vnlOutputSize[4][3] = inputSize[3];
+      vnlOutputSize[5][0] = inputSize[0];
+      vnlOutputSize[5][1] = inputSize[1];
+      vnlOutputSize[6][0] = inputSize[0];
+      vnlOutputSize[6][2] = inputSize[2];
+      vnlOutputSize[7][0] = inputSize[0];
+      vnlOutputSize[7][3] = inputSize[3];
+      vnlOutputSize[8][1] = inputSize[1];
+      vnlOutputSize[8][2] = inputSize[2];
+      vnlOutputSize[9][1] = inputSize[1];
+      vnlOutputSize[9][3] = inputSize[3];
+      vnlOutputSize[10][2] = inputSize[2];
+      vnlOutputSize[10][3] = inputSize[3];
+      vnlOutputSize[11][0] = inputSize[0];
+      vnlOutputSize[11][1] = inputSize[1];
+      vnlOutputSize[11][2] = inputSize[2];
+      vnlOutputSize[12][0] = inputSize[0];
+      vnlOutputSize[12][1] = inputSize[1];
+      vnlOutputSize[12][3] = inputSize[3];
+      vnlOutputSize[13][0] = inputSize[0];
+      vnlOutputSize[13][2] = inputSize[2];
+      vnlOutputSize[13][3] = inputSize[3];
+      vnlOutputSize[14][1] = inputSize[1];
+      vnlOutputSize[14][2] = inputSize[2];
+      vnlOutputSize[14][3] = inputSize[3];
+    }
+
+    //Compute the transformation of all corner
+    for (unsigned int i=0; i< std::pow(2, Dimension); ++i)
+      vnlOutputSize.set_row(i, transformationMatrix*vnlOutputSize.get_row(i));
+
+    //Compute the bounding box taking the max and the min
+    vnl_vector<double> minBB(vnlOutputSize.get_row(0)), maxBB(vnlOutputSize.get_row(0));
+    for (unsigned int i=0; i< std::pow(2, Dimension); ++i) {
+      for (unsigned int j=0; j< Dimension; ++j) {
+        if (vnlOutputSize[i][j] < minBB[j])
+          minBB[j] = vnlOutputSize[i][j];
+        if (vnlOutputSize[i][j] > maxBB[j])
+          maxBB[j] = vnlOutputSize[i][j];
+      }
+    }
+
+    //Compute the size
+    if (returnMin)
+      return minBB;
+    else {
+      vnl_vector<double> size;
+      size = maxBB - minBB;
+
+      return size;
+    }
+  }
+  //-------------------------------------------------------------------
  
 
   //-------------------------------------------------------------------
@@ -401,20 +494,6 @@ namespace clitk
       if (m_ArgsInfo.origin_given)
         std::cout << "Warning --origin ignored (because --transform_grid_flag)" << std::endl;
 
-      // Spacing is influenced by affine transform matrix and input direction
-      typename InputImageType::SpacingType outputSpacing;
-      outputSpacing = invRotMatrix *
-        input->GetDirection() *
-        input->GetSpacing();
-      if (autoGaussEnabled) { // Automated sigma when downsample
-        for(unsigned int i=0; i<Dimension; i++) {
-          if (outputSpacing[i] > input->GetSpacing()[i]) { // downsample
-            gaussianSigma[i] = 0.5*outputSpacing[i];// / inputSpacing[i]);
-          }
-          else gaussianSigma[i] = 0; // will be ignore after
-        }
-      }
-
       // Origin is influenced by translation but not by input direction
       typename InputImageType::PointType outputOrigin;
       outputOrigin = invRotMatrix *
@@ -423,13 +502,30 @@ namespace clitk
 
       // Size is influenced by affine transform matrix and input direction
       // Size is converted to double, transformed and converted back to size type.
-      vnl_vector<double> vnlOutputSize(Dimension);
+      // Determine the bounding box tranforming all corners
+      vnl_vector<double> vnlOutputSize(Dimension), vnlOutputmmSize(Dimension), vnlOutputOffset(Dimension);
+      typename InputImageType::SpacingType outputSpacing;
       for(unsigned int i=0; i< Dimension; i++) {
         vnlOutputSize[i] = input->GetLargestPossibleRegion().GetSize()[i];
+        vnlOutputmmSize[i] = input->GetLargestPossibleRegion().GetSize()[i]*input->GetSpacing()[i];
+        vnlOutputOffset[i] = input->GetLargestPossibleRegion().GetSize()[i]*input->GetSpacing()[i];
+      }
+      vnlOutputSize = ComputeSize(vnlOutputSize, invRotMatrix.GetVnlMatrix() * input->GetDirection().GetVnlMatrix(), 0);
+      vnlOutputmmSize = ComputeSize(vnlOutputmmSize, invRotMatrix.GetVnlMatrix() * input->GetDirection().GetVnlMatrix(), 0);
+      vnlOutputOffset = ComputeSize(vnlOutputOffset, invRotMatrix.GetVnlMatrix() * input->GetDirection().GetVnlMatrix(), 1);
+      for(unsigned int i=0; i< Dimension; i++) {
+        outputSpacing[i] = vnlOutputmmSize[i]/lrint(vnlOutputSize[i]);
+        outputOrigin[i] += vnlOutputOffset[i];
       }
-      vnlOutputSize = invRotMatrix *
-        input->GetDirection().GetVnlMatrix() *
-        vnlOutputSize;
+      if (autoGaussEnabled) { // Automated sigma when downsample
+        for(unsigned int i=0; i<Dimension; i++) {
+          if (outputSpacing[i] > input->GetSpacing()[i]) { // downsample
+            gaussianSigma[i] = 0.5*outputSpacing[i];// / inputSpacing[i]);
+          }
+          else gaussianSigma[i] = 0; // will be ignore after
+        }
+      }
+
       typename OutputImageType::SizeType outputSize;
       for(unsigned int i=0; i< Dimension; i++) {
         // If the size is negative, we have a flip and we must modify